Founding Research Engineer

Silurian is building foundation models to simulate the Earth, starting with weather. Our mission is to scale these models to their full potential and push them to the limits of physical predictability. We aim to model all infrastructure impacted by weather, including energy grid, agriculture, logistics, and defense.

We are seeking a Founding Research Engineer with experience in handling large-scale multi-modal data pipelines. Previous experience with geospatial or other forms of large-scale satellite or time-series data in a production setting is a major plus.

Key Responsibilities:

• Architect and implement petabyte-scale geospatial data pipelines for processing large multi-modal heterogeneous volumes of weather and climate data.
• Design and optimize schemas for gridded data, time-series, and satellite imagery.
• Implement robust data validation, indexing, and search capabilities across multidimensional geospatial data sources.
• Streamline data ingestion and preprocessing for foundation models.
• Design fault-tolerant systems for managing forecast data with high refresh rates.

Why join us:

• Real-world impact: Help predict hurricanes early.
• Cutting-edge technology: Work with some of the biggest training datasets in the world.
• Dynamic team: Join a committed group building AI to improve the world.
• Opportunity to transform petabytes of untapped geospatial data into next-generation global forecasting systems.

The interview process includes an initial chat, technical deep dive, take-home project, team round, and on-site visit. We value transparency and respect candidates' time throughout the process.

Join Silurian to push the boundaries of Earth simulation and make a significant impact on weather prediction and infrastructure modeling.